Annals of Neuropsychology

  neuropsychology@medcavepublications.org

Current Issues.

Volume 1  Issue 1
   Research Article         Month : 01 (2019)

Associative Memory Cells in Engram Circuits

  Jin-Hui Wang

The joint acquisition and integrated storage of multiple exogenous signals are called as associative learning and memory. Endogenous signals that are generated during cognition and emotion based on exogenous signals can be memorized. The integrative storage of these exogenous and endogenous signals is essential for various events in life. In terms of basic units of engrams, associative memory cells are recruited in the brain in learning and cognition. The recruitment and refinement of associative memory cells work for memory retrievals, memory-relevant events and the reorganized learning of unitary signals that have been acquired. Associative memory cells are recruited by generating mutual synapse innervations among coactivated neurons within a single-modality brain area and across multi-modality brain areas. Associative memory cells in engrams are those cells that are able to encode the storage of associatively learned signals and receive synapse innervations carrying these signals. Associative memory cells are generally classified into primary associative memory cells in sensory cortices and secondary associative memory cells in brain areas relevant to cognition and emotion. The axons of primary associative memory cells innervate secondary associative memory cells. Mutual synapse innervations constitute the integrative storage and reciprocal retrieval of associated signals. Convergent synapse innervations to downstream neurons endorse the integrative cognition and emotion, such as associative thinking and logical reasoning. Divergent synapse innervations confer multiple uses of memorized signals. The interconnection between primary and secondary associative memory cells makes sensory sources be included in memory-relevant events. This review presents a comprehensive diagram about the recruitment and refinement of associative memory cells as well as their impacts in physiology, psychology and pathology for the society of memoriology.
   Research Article         Month : 01 (2019)

Obsessive-Compulsive Disorder: The Orbitofrontal-Striatal Model, and Deep Brain Stimulation

  Robert K. McClure

OCD is a serious neuropsychiatric illness with a distinct epidemiology, social, educational and economic impact. Suicide is a lethal outcome of OCD. Treatment-resistant OCD is uncommon, but highly debilitating. Clinical symptoms of OCD are characterized by obsessions and compulsions. Treatment of OCD includes Cognitive Behavioral Therapy (CBT) and pharmacotherapy. Treatment refractory OCD may respond to Deep Brain Stimulation (DBS). The evidence for the role of orbitofrontal-striato-thalamic circuits in mediating emotion, learning, and reward-focused behavior is presented. The evidence that these important brain systems are dysfunctional in patients with OCD is also presented
   Research Article         Month : 01 (2019)

Comparisons of citations among clusters of medical subject headings using visualizing topic burst on neuropsychiatry: a bibliometric analysis

  Willy Chou

Background: PubMed is a primary source of biomedical information comprising search tool function and the biomedical literature from MEDLINE. A new method using Medical Subject Headings (MdSH) is needed for searching the knowledge in the neuropsychiatry field. Methods: A new method is proposed in this study for visualizing the recent research trends based on the retrieved MeSH terms corresponding to a search query given by the user. MeSH terms are extracted from Pubmed Central (PMC) based on the keyword of neuropsychiatry [All Fields] through a series of calculations on correlations between terms using Social Network Analysis (SNA). We illustrated four bibliometrics to compare differences among MeSH clusters and verified whether article types might be disparate regarding MeSH terms and citations. We programmed Microsoft Excel VBA routines to extract data. Google Maps and Pajek software were used for displaying graphical representations. Results: We found that (1) the dominant nation on the topic of neuropsychiatry is the US; (2) the MeSH terms of neuropsychiatry, diagnosis, and physiopathology gain the top degree centralities based on SNA; (3) the Mesh term of physiology owns the highest metrics with Impact Factor (IF)=30.37, h-index=6, and x=14.97, respectively; (4) differences were found significantly among MeSH clusters on neuropsychiatry (p<0.05) using 95% confidence intervals of the bootstrapping method; (5) the article(PMID=2190539) published in 1990 was cited most (with 285 times and two MeSH term of diagnosis and psychiatric status rating scales. Conclusions: The application of the MeSH cluster analysis, which could be used as a “guide map for travelers,” allows users to quickly and easily acquire the knowledge of research trends. Combination of PubMed and MeSH citations is expected to be an effective complementary way for the researchers in the biomedical field experiencing difficulties with search and information analysis.
  

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